Lossy Compression of Landsat Multispectral Images

被引：0

作者：

Kozhemiakin, Ruslan ^{[1
]}

Abramov, Sergey ^{[1
]}

Lukin, Vladimir ^{[1
]}

Djurovic, Blazo ^{[2
]}

Djurovic, Igor ^{[2
]}

Vozel, Benoit ^{[3
]}

机构：

[1] Natl Aerosp Univ, Chkalova Str 17, UA-61070 Kharkov, Ukraine

[2] Univ Montenegro, Cetinjski Put Bb, Podgorica 81000, Montenegro

[3] Univ Rennes 1, Enssat, IETR, CNRS,UMR 6164, Lannion, France

来源：

2016 5TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING (MECO) | 2016年

关键词：

multichannel images; noise; lossy compression; NOISE;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

We consider practical aspects of lossy compression with application to multispectral images provided by Landsat sensor. Two facts are taken into account: 1) the inherent noise presence and its properties; 2) rather high degree of component correlation. These properties in different degree are used in 2D and 3D lossy compression. Comparison of the suggested approaches has been carried out for some compression ratios. It is demonstrated that 3D-compression using techniques based on discrete cosine transform (DCT) can provide some benefits but only under condition of proper grouping of sub-band images.

引用

页码：104 / 107

页数：4

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